Project: Traces

Tagline:

"Exploring the surrounding digital footprint"
Core Problem:

Social media is a major part of today's digital landscape.
There is currently no way to view social media sources
such as Twitter in a location-based manner. Traces fills
that gap by giving the user a graphical, location-based window
into the Twitterverse. Our application queries Twitter's servers,
and displays to a user all of the tweets that have been made
within a 1 mile radius of their current location. The user can
also search for tweets in a different location either by long
pressing on the map, quick search, or using an advance search.
Tweets can also be viewed in a list view, sorting the most
popular tweets at the top of the list.
How:

This application was developed in Android Studio. All of us
were new to Android development at the beginning of this project,
however, we really like the way the final product turned out.
The backend is written in Go, and runs on Google App Engine.
The back-end produces a JSON response from the Twitter API,
which the Android app consumes, then displays the results
to the user in an easy to interface.
End-User Evaluation:

We conducted a lightweight end-user
evaluation to determine how successful we were in the execution
of the app. We made the app live in the Google Play store, posted
a questionnaire via Google Forms, and asked friends and family to
download it, try it out, and complete the questionnaire.Below are portions of the results that we found were interesting
and a few conclusions drawn from the comments and data.

Interface/Usage:

Some form of instructions are needed to guide the user through
the initial use of the app.

Units of measurement for numeric values should be provided.

Participants were able to navigate the maps view easily.
66.7% responded that it was easy to navigate the map view,
and 27.8 percent responded that it was fairly easy to navigate
the map view.

Half of the participants found that ranking the tweets was helpful
or interesting. Another 39.9% responded neutrally.

83% of participants were able to find an interesting or humorous
tweet during their evaluation.

Over half of the participants (55.6%) responded that they
would use both views if they used the application again,
33.3% responded they'd use the maps view the most, and
only 11.1% responded that they'd use the list view the most.

Demographics/Audience:

Daily Twitter users would be much more likely to use the app:

Of the 18 users that completed the evaluation, only 5 of
them use Twitter daily and 8 of them don't use twitter,
at all.

Of the five users that use Twitter daily, three indicated
that they would be likely to use the app again, while the
other two gave neutral responses.

Of the eight users that don't use Twitter at all, two of them
indicated they would be likely to use the app again,
while the others gave neutral responses or indicated they
wouldn't be likely to use the app again.

Younger users (ages 18-24) would be more likely to use the app:

60% of participants in the 18-24 years old range,
compared to 25% of participants in the 24-34 years
old range.

20% of participants in the 18-24 years old range and
42% of participants in the 24-34 years old range would
not be likely to try the app again.

66.7% of participants gave a strong indication that
they would be likely to recommend the app to a friend.
No participant responded that they would be unlikely to
recommend it to a friend.